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Molecular systematics and phylogeny of the ‘Marbled Whites' (Lepidoptera: Nymphalidae, Satyrinae, <i>Melanargia</i> Meigen)

2009· article· en· W2143567767 on OpenAlexafffund
Vazrick Nazari, Wolfgang ten Hagen, GIAN CHRISTOFORO BOZANO

Bibliographic record

VenueSystematic Entomology · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLepidoptera: Biology and Taxonomy
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of CanadaGenome Canada
KeywordsSubspeciesBiologystatGenusZoologyPhylogenetic treeNymphalidaePhylogeneticsLepidoptera genitaliaBotanyGeneGenetics

Abstract

fetched live from OpenAlex

Abstract. We investigated genetic divergence and phylogenetic relationships amongst all known species of Palaearctic butterflies of the genus Melanargia using sequence information from three genes [mitochondrial cox1 barcode region (658 bp), ribosomal 16S rRNA ( c . 518 bp), and nuclear wg (404 bp)]. Results show a lack of DNA divergence among several poorly characterized taxa, as well as deep divergences within and between others. We corroborated the molecular information with morphological and genitalic characters as well as with geographic data. We revise the taxonomy of Melanargia , and propose a new systematic scheme for the group. We revive some previous synonymies ( M. lucasi meadwaldoi stat. rev. , M. ines fathme stat. rev. , M. ines jahandiezi stat. rev. , M. meridionalis tapaishanensis stat. rev. ), revise the status of some subspecies into species ( M. transcaspica stat. nov. , M. lucida stat. nov. , M. wiskotti stat. nov. ) and of several species into subspecies of other taxa ( M. evartianae sadjadii stat. nov. , M. larissa hylata stat. nov. , M. larissa grumi stat. nov. , M. larissa syriaca stat. nov. , M. larissa titea stat. nov. , M. lugens montana stat. nov. , M. epimede ganymedes stat. nov. ), revise the status of subspecies and transfer them to other species ( M. larissa lorestanensis stat. nov. , M. larissa iranica stat. nov. , M. larissa karabagi stat. rev. , M. larissa kocaki stat. nov. , M. transcaspica eberti stat. nov. ), and propose new synonymies ( M. larissa titea = M. titea standfussi syn. nov. = M. titea titania syn. nov. , M. leda leda = M. leda yunnana syn. nov. , M . lugens lugens = M. lugens ahyoui syn. nov. , M . lugens hengshanensis = M. lugens hoenei syn. nov. , M. halimede halimede = M. halimede gratiani syn. nov. , M. asiatica asiatica = M. asiatica dejeani syn. nov. , = M. asiatica elisa syn. nov. , = M. asiatica sigberti syn. nov. ).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.221
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations24
Published2009
Admission routes2
Has abstractyes

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